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A General Theory of Estimation of Variance-Covariance Components
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作者 MA Chaoqun LI Qingguo International Business School of Hunan University, Hunan 410082 《Systems Science and Systems Engineering》 CSCD 1997年第3期75-83,共9页
Starting from the more general functional model and being based on their work of K. R. Koch (1986) and Ou Ziqiang (1989), marginal likelihood function of variance components is derived and is identical to the ortho... Starting from the more general functional model and being based on their work of K. R. Koch (1986) and Ou Ziqiang (1989), marginal likelihood function of variance components is derived and is identical to the orthogonal complement likelihood function in this paper. Minimum norm quadratic unibiased estimator (MINQUE) is developed, which expands the formula by C. R. Rao (1973). It is proved that Helmert type estimation, MINQUE, BQUE and maximum likelihood estimation are identical to one another. Besides, a universal formula for accuracy evalution is presented. Through these work, the paper establishes a universal theory of variance covariance components. 展开更多
关键词 MINQUE maximum likelihood estimation variance covariance component
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ON ASYMPTOTIC JOINT DISTRIBUTIONS OF EIGENVALUES OF RANDOM MATRICES WHICH ARISE FROM COMPONENTS OF COVARIANCE MODEL
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作者 CUIWenquan ZHAOLincheng BAIZhidong 《Journal of Systems Science & Complexity》 SCIE EI CSCD 2005年第1期126-135,共10页
In this paper, the authors derive the asymptotic joint distributions of theeigenvalues of some random matrices which arise from components of covariance model.
关键词 component of covariance model eigenstructure analysis limiting distribution random matrix.
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